In mediaĪnd entertainment applications, you can catalog videos based on relevant text on Visual search based on an index of images that contain the same keywords. In image sharing and social media applications, you can use it to enable Numbers in different orientations, such as those commonly found in banners and Image supports most fonts, including highly stylized ones. Image enables you to recognize and extract textual content from images. Text detection – Amazon Rekognition Text in Thousands of celebrities across a number of categories, such as politics, sports, Recognize celebrities within supplied images and in videos. Examples include socialĪnd dating sites, photo sharing platforms, blogs and forums, apps for children,Įcommerce sites, entertainment, and online advertising services.Ĭelebrity recognition – Amazon Rekognition can Management of large volumes of user-generated content (UGC). Specific categories of unsafe content, which enables granular filtering and Returns a hierarchical list of labels with confidence scores.
The returned metadata to filter inappropriate content based on their business needs.īeyond flagging an image based on the presence of unsafe content, the API also Unsafe content detection – Amazon Rekognition canĭetect adult and violent content in images and in stored videos. Searching for people based on their faces requires two major steps in Amazon Rekognition: Images, stored videos, and streaming videos for faces that match those stored in a container known asĪ face collection is an index of faces that you own and manage. It is not indicative of a person’s internal emotional state,Īnd Rekognition should not be used to make such a determination.įacial Search – With Amazon Rekognition, you can search Note that a prediction of an emotional expression is based on the physical appearance Amazon Rekognition canĪnalyze images, and send the emotion and demographic attributes to Amazon Redshiftįor periodic reporting on trends such as in store locations and similar scenarios. Where safety warnings or training practices can be improved.Īmazon Rekognition interprets emotional expressions such as happy, sad, or surprise,Īnd demographic information such as gender from facial images. You can use the detection results to send a notification or to identify places With PPE detection, you can automatically detect if a person is wearingĪ specific type of PPE. Industries such as construction, manufacturing, healthcare, food processing, You can use PPE detection where safety is the highest priority. Searchable image and video libraries – Amazon Rekognition makes imagesĪnd stored videos searchable so you can discover objects and scenes that appear within them.Īmazon Rekognition enables your applications to confirm user identities byĬomparing their live image with a reference image.ĭetection of Personal Protective EquipmentĪmazon Rekognition detects Personal Protective Equipment (PPE) such as face covers, head covers, and hand covers Ĭommon use cases for using Amazon Rekognition include the following:
For more information, see the Amazon Rekognition FAQs. Amazon Rekognition includes a simple,Įasy-to-use API that can quickly analyze any image or video file that’s stored in Amazon S3.Īmazon Rekognition is always learning from new data, and we’re continually adding new labels andįacial comparison features to the service. It requires no machine learning expertise to use. Verification, cataloging, people counting, and public safety.Īmazon Rekognition is based on the same proven, highly scalable, deep learning technologyĭeveloped by Amazon’s computer vision scientists to analyze billions of images and videosĭaily. You canĭetect, analyze, and compare faces for a wide variety of use cases, including user It can detect any inappropriate content as well.Īmazon Rekognition also provides highly accurate facial analysis, face comparison, and face search capabilities. Provide an image or video to the Amazon Rekognition API, and the service can identify objects, Amazon Rekognition makes it easy to add image and video analysis to your applications.
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